For different input instances, the output of the neural network has different uncertainties, while the observation noise also has an impact on the uncertainty [1]}.
Thus, we propose an Uncertainty-Based Network (UCN), which models the uncertainty of model classification results and optimizes the prototype by considering the uncertainty of model classification results and classification results.
